首页上面代码报错 File "C:\Users\THUNDE~1\AppData\Local\Temp/ipykernel_13868/4212125776.py", line 14 roe_data = pd.DataFrame(roe_data).set_index('day')['roe'] ^ SyntaxError: invalid syntax

上面代码报错 File "C:\Users\THUNDE~1\AppData\Local\Temp/ipykernel_13868/4212125776.py", line 14 roe_data = pd.DataFrame(roe_data).set_index('day')['roe'] ^ SyntaxError: invalid syntax

时间: 2023-12-01 17:04:06 浏览: 144

ThunderNet Towards Real-time Generic Object Detection

Real-time generic object detection on mobile platforms is a crucial but challenging computer vision task. However, previous CNN-based detectors suffer from enormous computational cost, which hinders them from real-time inference in computation-constrained scenarios. In this paper, we investigate the effectiveness of two-stage detectors in real-time generic detection and propose a lightweight two-stage detector named ThunderNet. In the backbone part, we analyze the drawbacks in previous lightweight backbones and present a lightweight backbone designed for object detection. In the detection part, we exploit an extremely efficient RPN and detection head design. To generate more discriminative feature representation, we design two efficient architecture blocks, Context EnhancementModule and Spatial Attention Module. At last, we investigate the balance between the input resolution, the backbone, and the detection head. Compared with lightweight one-stage detectors, ThunderNet achieves superior performance with only 40% of the computational cost on PASCALVOC and COCO benchmarks. Without bells and whistles, our model runs at 24.1 fps on an ARM-based device. To the best of our knowledge, this is the first real-time detector reported on ARM platforms. Code will be released for paper reproduction.

这个错误是由于中括号写在了字符串的外面所导致的。你需要将 `set_index` 和中括号写在同一行，修改后的代码如下： ``` import jqdatasdk import pandas as pd # 获取平安银行股票代码 security = jqdatasdk.normalize_code('000001.XSHE') # 获取平安银行 2015 年至 2019 年的 ROE 数据 roe_data = jqdatasdk.get_fundamentals(jqdatasdk.query( jqdatasdk.valuation.code, jqdatasdk.indicator.roe).filter( jqdatasdk.valuation.code == security).order_by( # 使用 day 或者 statDate 表示 ROE 数据的公布日期 jqdatasdk.indicator.day.desc()).limit( None)) # 将 ROE 数据转换为 DataFrame 格式 roe_data = pd.DataFrame(roe_data).set_index('day')['roe'] # 输出 ROE 数据 print(roe_data) ```

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